Frequently Asked Questions

By claiming the project to gain information management rights, supplementing key information such as financing, team, and token economics in the backend with verifiable sources, and the score will be recalculated after updates.

Enter the project detail page to verify team backgrounds, financing institution backgrounds, and token economics, and combine with RootData Research's industry reports to validate track logic before deciding whether to conduct further research.

Ratings are calculated based on verifiable disclosed information. Project teams can actively improve their ratings by claiming and submitting information, which is the design purpose to incentivize disclosure rather than punish silence. Changes in ratings are also public information.

Not complete. All lists and screenings are bounded by RootData's inclusions; projects that are not included or whose information has not been updated will not appear, and the actual number of market projects is greater.

Not necessarily. The improvement list only reflects the degree of information disclosure and does not evaluate business quality; projects with sufficient disclosure may still carry operational risks.

Not necessarily. A high heat index may reflect short-term speculation, and the growth index may also be driven by a single event. The indices are only for horizontal comparison reference and do not constitute investment advice.

This indicates that the project has insufficient data or no significant changes recently, making it impossible to calculate an effective index, commonly seen in newly included or long-term inactive projects.

The indices are updated in real-time based on underlying data; the Transparency Improvement List is refreshed on a 7-day rolling basis, with projects changing weekly.

Based on the completeness of the information disclosed by the project, including key information dimensions such as financing, team, and token economics; the more complete the information and the more verifiable sources, the higher the score and rating.

Collected and organized by dedicated AI agents and data personnel, verified by secondary manual checks before entering the database. Each financing record includes a source link, and team and individual information can be cross-verified.

RootData Projects is the core project library of the platform, covering structured profiles of over 21,000 crypto projects, supporting filtering by tags, ecosystems, investors, financing status, transparency ratings, and providing dual index sorting for RD growth and heat.

It is collected based on public information (official announcements, LinkedIn, X profiles, etc.), structured into the database after manual cross-verification; career dynamics are based on publicly disclosed information.

Sort by the number of followers to see public recognition, by X influence to see industry status, and by X popularity to see current activity—use popularity to find KOL collaborations and influence to study industry patterns.

Enter the individual's detail page, where their work and educational experiences are displayed in a structured timeline, and you can view their associations with projects and organizations.

The homepage's 'Recent Employment/Departure' tables are updated in real-time with the movements of executives and investors, which can be checked regularly, or you can search for individuals of interest to view their timeline of changes.

The top search box supports searches for individuals, universities, and companies. You can enter a name, organization name, or X account handle to locate them, and view their complete resume and employment changes on their profile page.

They measure the universities and companies that supply the most talent to the Web3 industry, sorted by the number of individuals, reflecting the source structure of industry talent.

The number of followers reflects the scale of account fans; X influence and X popularity are relative indicators defined by the platform, focusing on activity and attention within the industry, where having many fans does not necessarily mean high popularity.

Five modules: Popular Figures, Recent Employment and Departure Dynamics, Top Figures on X (1,000 entries, supporting three sorting methods: popularity, influence, and followers), Top Universities (100) and Top Companies (100) talent supply rankings.

After obtaining information management permissions through project claims in the Listing section, you can update team member information in the backend, which will take effect after review by the data team.